Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
The data cover the following sub-national areas: North, South, Artibonite, Centre, South-East, Grande'Anse, North-East, West, North-West, Market Average
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Cost of food in the United States increased 2.90 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Monthly average retail prices for food, household supplies, personal care items, cigarettes and gasoline. Prices are presented for the current month and previous four months. Prices are in Canadian current dollars.
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The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.
In May 2025, prices for food and non-alcoholic beverages were around 3.3 percent higher than in the same month last year. Compared to previous months earlier in the timeline, prices increased less.
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Graph and download economic data for Global price of Food index (PFOODINDEXM) from Jan 1992 to Apr 2025 about World, food, indexes, and price.
In January 2025, the 12-month inflation rate for food items in the United States was at 2.5 percent. That month, egg prices increased by over 50 percent compared to January 2024. Inflation for sugar and sweets saw an increase at 4.3 percent.
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India: Food price index, world average = 100: The latest value from 2021 is 58.17 index points, a decline from 58.758 index points in 2017. In comparison, the world average is 105.854 index points, based on data from 165 countries. Historically, the average for India from 2017 to 2021 is 58.464 index points. The minimum value, 58.17 index points, was reached in 2021 while the maximum of 58.758 index points was recorded in 2017.
This statistic depicts the consumer price index (CPI) for food in the United States from 1960 to 2024. In December 2024, the consumer price index (CPI) for food amounted to ******, compared to the period from 1982 to 1984 (=100).
Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
The data cover the following sub-national areas: North Darfur, Blue Nile, Northern, Nile, Eastern Darfur, West Kordofan, Gedaref, West Darfur, North Kordofan, South Kordofan, Kassala, Khartoum, White Nile, South Darfur, Red Sea, Sennar, Al Gezira, Central Darfur, Market Average
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Cost of food in Nigeria increased 21.14 percent in May of 2025 over the same month in the previous year. This dataset provides - Nigeria Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
The data cover the following sub-national areas: Akkar, Mount Lebanon, Baalbek-El Hermel, North, Beirut, Bekaa, El Nabatieh, South, Market Average
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Ghana: Food price index, world average = 100: The latest value from 2021 is 111.31 index points, an increase from 101.488 index points in 2017. In comparison, the world average is 105.854 index points, based on data from 165 countries. Historically, the average for Ghana from 2017 to 2021 is 106.399 index points. The minimum value, 101.488 index points, was reached in 2017 while the maximum of 111.31 index points was recorded in 2021.
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Cost of food in Haiti increased 29.90 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Haiti Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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This dataset contains Food Prices data for Benin, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
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Cost of food in Russia increased 11.91 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Russia Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Food in U.S. City Average (CPIUFDNS) from Jan 1913 to May 2025 about urban, food, consumer, CPI, inflation, price index, indexes, price, and USA.
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Kenya: Food price index, world average = 100: The latest value from 2021 is 93.19 index points, an increase from 80.809 index points in 2017. In comparison, the world average is 105.854 index points, based on data from 165 countries. Historically, the average for Kenya from 2017 to 2021 is 87 index points. The minimum value, 80.809 index points, was reached in 2017 while the maximum of 93.19 index points was recorded in 2021.
Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.
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The average for 2021 based on 50 countries was 93.236 index points. The highest value was in the Comoros: 165.12 index points and the lowest value was in Rwanda: 60.94 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.
Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
The data cover the following sub-national areas: North, South, Artibonite, Centre, South-East, Grande'Anse, North-East, West, North-West, Market Average